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To understand patient complaints in conversational applications, we propose a two-fold approach using Word2vec and BERT to detect the characterizations of entities like symptoms presented by general users in contexts where they would describe their symptoms to a clinician.
To address continuous large-scale evaluation of diagnostic systems, we proposed a novel patient vignette simulation algorithm within an iterative clinician-in-the-loop methodology for semi-automatically evaluating and deploying medical diagnostic systems in production.
To address data imbalance in medical document classification, we propose a probabilistic dictionary-based data augmentation approach by oversampling on the minority class and creating new documents with high variety by using synonyms’ similarities with the original medical entity term.
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